Automatic Classification of Laryngeal Dysfunction Using the Roots of the Digital Inverse Filter-Reference-Cited by-同舟云学术

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Automatic Classification of Laryngeal Dysfunction Using the Roots of the Digital Inverse Filter

Published:1980-12 Issue:12 Volume:BME-27 Page:714-721
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Deller John R.,Anderson David J.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx5/10/4123167/04123176.pdf?arnumber=4123176

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders;Journal of Voice;2019-11

2. Predictability analysis of voice signals;IEEE Engineering in Medicine and Biology Magazine;2009-09

3. Analysis of Voice Pathology Evolution Using Entropy Rate;2008 Tenth IEEE International Symposium on Multimedia;2008-12

4. Detection of laryngeal function using speech and electroglottographic data;IEEE Transactions on Biomedical Engineering;1992

5. Automatic determination of tone period and evaluation of dysphony in pathological voices;IEE Proceedings A Physical Science, Measurement and Instrumentation, Management and Education, Reviews;1986

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